Sep 9–12, 2019

Supercharging business decisions with AI: Insight, optimize, and personalize to save $100M

Anuradha Gali (Uber)
4:50pm5:30pm Wednesday, September 11, 2019
Location: LL21 C/D

Who is this presentation for?

  • Engineering leaders, data scientists, and those interested in big data




There are 15 million trips a day on Uber platform with 3M+ active drivers and 75M+ active riders across 700+ cities in its ride-hailing business. To operate at this scale, Uber needs systems that can continuously predict the demand and balance it with how Uber optimizes its spend and operational costs. Anu Gali’s team at Uber builds the systems that enable forecasting of how the markets will perform yearly and monthly. The team also generates insights for operational intelligence that drive Uber’s annual budget and determine the level of investment to be applied at each city and region across global markets.

The ML platform uses artificial neural network and recurrent neural network models to model each city; the company operates it as a microeconomic market with deep understanding on how Uber’s actions may influence the outcome in each of them. Uber enables the users to create various scenarios and choose the one that works best; it provides analytics on forecast versus actuals and enables continuously adjusting predictions to facilitate optimal outcomes. You’ll leave knowing about Uber’s big data, ML platform, and the various models used as well as some of the best practices on how to optimize those systems.

Prerequisite knowledge

  • A basic knowledge of big data and ML

What you'll learn

  • Learn some key artificial neural network (ANN) and recurrent neural network (RNN) models used and why and how they can be used to solve business challenges
  • Understand how to build and optimize a data lake to run the ML platforms and power analytics
Photo of Anuradha Gali

Anuradha Gali


Anu Gali is an engineering leader at Uber, leading business insights. Her team is responsible for rides and eats trip forecasts, helps business optimize the budget across operations and business units, and predicts customer value across all users. As a tech leader, Anu has built high-performing engineering teams from the ground up and steered large-scale projects in data, ML, web, ecommerce, and mobile technologies for companies such as Uber, Groupon, Shutterfly, and Adobe. Anu strongly believes in having an entrepreneurial mind-set and in helping others to reach their potential. She cofounded a company and released a social entertainment app, IntoMovies. She also volunteers for a number of charitable organizations and STEM programs.

  • Intel AI
  • O'Reilly
  • Amazon Web Services
  • IBM Watson
  • Dataiku
  • Dell Technologies
  • Intuit
  • Gamalon
  • Hewlett Packard Enterprise
  • MapR Technologies
  • Sisu Data
  • Intuit

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